Land-surface temperature retrieval at high spatial and temporal resolutions based on multi-sensor fusion  

作　　者：Penghai Wu Huanfeng Shen Tinghua Ai Yaolin Liu 

机构地区：[1]School of Resource and Environmental Science,Wuhan University,Wuhan,China

出　　处：《International Journal of Digital Earth》2013年第S01期113-133,共21页国际数字地球学报（英文）

基　　金：the Major State Basic Research Development Program(973 Program)under Grant 2011CB707103;National High Technology Research and Development Program(863 Program)under Grant 2013AA12A301;National Natural Science Foundation of China under Grant 41271376,the Hubei Natural Science Foundation under Grant 2011CDA096;the Fundamental Research Funds for the Central Universities under Grant 2012205020205.

摘　　要：Land-surface temperature(LST)is of great significance for the estimation of radiation and energy budgets associated with land-surface processes.However,the available satellite LST products have either low spatial resolution or low temporal resolution,which constrains their potential applications.This paper proposes a spatiotemporal fusion method for retrieving LST at high spatial and temporal resolutions.One important characteristic of the proposed method is the consideration of the sensor observation differences between different land-cover types.The other main contribution is that the spatial correlations between different pixels are effectively considered by the use of a variation-based model.The method was tested and assessed quantitatively using the different sensors of Landsat TM/ETM,moderate resolution imaging spectroradiometer and the geostationary operational environmental satellite imager.The validation results indicate that the proposed multisensor fusion method is accurate to about 2.5 K.

关 键 词：land-surface temperature image fusion remote sensing RESOLUTION 

分 类 号：P40[天文地球—大气科学及气象学]